As the size of databases continues to grow, understanding their structure gets more difficult. This, together with the lack of documentation and the unavailability of the original designers of the database adds further difficulty to the job of researchers and professionals to understand the structure of large and complex databases. At the same time, data sources are distributed over several sit...

This work studies applications and generalizations of a simple estimation technique that provides exponential concentration under heavy-tailed distributions, assuming only bounded low-order moments. We show that the technique can be used for approximate minimization of smooth and strongly convex losses, and specifically for least squares linear regression. For instance, our d-dimensional estima...

In this paper, we theoretically justify an approach popular among participants of the Higgs Boson Machine Learning Challenge to optimize approximate median significance (AMS). The approach is based on the following two-stage procedure. First, a real-valued function f is learned by minimizing a surrogate loss for binary classification, such as logistic loss, on the training sample. Then, given f...

Determining loss minimum configuration in a distribution network is a hard discrete optimization problem involving many variables. Since more and more dispersed generators are installed on the demand side of power systems and they are reconfigured frequently, developing automatic approaches is indispensable for effectively managing a large-scale distribution network. Existing fast methods emplo...

Information is the most valuable asset for organizations. One of the goals of organizations is to share their data and at the same time to enforce their policies. Web database is a combined production with database technology and Web technology. Web database is placed on the Internet, there are many security problems. The secrecy and the integrity are two important demands of security system. W...

In the most recent heuristic methods, the high potential buses for capacitor placement are initially identified and ranked using loss sensitivity factors (LSFs) or power loss index (PLI). These factors or indices help to reduce the search space of the optimization procedure, but they may not always indicate the appropriate placement of capacitors. This paper proposes an efficient approach for t...

We propose a new framework to construct the margin-based classifiers, in which the binary and multicategory classification problems are solved by the same principle; namely, margin-based classification via regularized empirical risk minimization. To build the framework, we propose the margin vector which is the multi-class generalization of the margin, then we further generalize the concept of ...

The efficiency of induction motor drives under variable operating conditions can be improved by predicting the optimum flux that guarantees loss minimization. In this research, a loss-minimization scalar controller, based on determining of modulation index of IGBT inverter-based AC-to-AC converter, which corresponds to optimum flux, is proposed. For this purpose, mathematical models for total p...

Optimization of active power loss in Electrical Power systems is complicated because of large, complex, and geographically widely distributed power systems. It is advisable to use the most efficient optimization technique based on its suitability to find an optimized solution of the problem. Active power loss minimization in a system is obtained by controlling the flow of reactive power. The re...

This manuscript explores feeder reconfiguration in distribution networks and presents an efficient method to optimize the radial distribution system by means of simultaneous reconfiguration. Network Reconfiguration of radial distribution system is a significant way of altering the power flow through the lines. This assessment presents a modern method to solve the network reconfiguration problem...